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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 12331
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    Explanations

    terms related to limitations or constraints, particularly in the context of policies or regulations

    oai_token-act-pair · gpt-3.5-turbo

    references to a cap or limit on something, particularly in a regulatory or environmental context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĪĴ
    -0.81
    cipl
    -0.80
    hower
    -0.74
    perse
    -0.73
    selves
    -0.71
     Bread
    -0.68
     Roses
    -0.65
    issance
    -0.63
    cause
    -0.63
    Reloaded
    -0.62
    POSITIVE LOGITS
    itol
    1.08
    aic
    0.94
    illary
    0.91
    glers
    0.84
    itals
    0.80
    itated
    0.80
    size
    0.76
    stan
    0.76
    uchin
    0.76
    acious
    0.73
    Activations Density 0.010%

    No Known Activations